Literature DB >> 19881955

Proteomic identification of putative biomarkers of radiotherapy resistance: a possible role for the 26S proteasome?

Laura Smith1, Omar Qutob, Mark B Watson, Andrew W Beavis, Donna Potts, Kevin J Welham, Veerabhadram Garimella, Michael J Lind, Philip J Drew, Lynn Cawkwell.   

Abstract

PURPOSE: We aimed to identify putative predictive protein biomarkers of radioresistance. EXPERIMENTAL
DESIGN: Three breast cancer cell lines (MCF7, MDA-MB-231, and T47D) were used as in vitro models to study radioresistance. Inherent radiosensitivities were examined using a clonogenic survival assay. It was revealed that each cell line differed in their response to radiotherapy. These parental breast cancer cell lines were used to establish novel derivatives (MCF7RR, MDA-MB-231RR, and T47DRR) displaying significant resistance to ionizing radiation. Derivative cells were compared with parental cells to identify putative biomarkers associated with the radioresistant phenotype. To identify these biomarkers, complementary proteomic screening approaches were exploited encompassing two-dimensional gel electrophoresis in combination with mass spectrometry, liquid chromatography coupled with tandem mass spectrometry and quantitative proteomics using iTRAQ technology.
RESULTS: A large number of potential biomarkers were identified, and several of these were confirmed using Western blot analysis. In particular, a decrease in the expression of the 26S proteasome was found in all radioresistant derivatives when compared with the respective parent cells. Decreased expression of this target was also found to be associated with radioresistant laryngeal tumors (P = .05) in a small pilot immunohistochemical study.
CONCLUSIONS: These findings suggest that the 26S proteasome may provide a general predictive biomarker for radiotherapy outcome.

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Year:  2009        PMID: 19881955      PMCID: PMC2767221          DOI: 10.1593/neo.09902

Source DB:  PubMed          Journal:  Neoplasia        ISSN: 1476-5586            Impact factor:   5.715


  32 in total

1.  A new mathematical model for relative quantification in real-time RT-PCR.

Authors:  M W Pfaffl
Journal:  Nucleic Acids Res       Date:  2001-05-01       Impact factor: 16.971

Review 2.  The 26S proteasome: a molecular machine designed for controlled proteolysis.

Authors:  D Voges; P Zwickl; W Baumeister
Journal:  Annu Rev Biochem       Date:  1999       Impact factor: 23.643

3.  Proteasome involvement in the repair of DNA double-strand breaks.

Authors:  Nevan J Krogan; Mandy H Y Lam; Jeffrey Fillingham; Michael-Christopher Keogh; Marinella Gebbia; Joyce Li; Nira Datta; Gerard Cagney; Stephen Buratowski; Andrew Emili; Jack F Greenblatt
Journal:  Mol Cell       Date:  2004-12-22       Impact factor: 17.970

4.  Parallel human genome analysis: microarray-based expression monitoring of 1000 genes.

Authors:  M Schena; D Shalon; R Heller; A Chai; P O Brown; R W Davis
Journal:  Proc Natl Acad Sci U S A       Date:  1996-10-01       Impact factor: 11.205

5.  Inhibition of macroautophagy triggers apoptosis.

Authors:  Patricia Boya; Rosa-Ana González-Polo; Noelia Casares; Jean-Luc Perfettini; Philippe Dessen; Nathanael Larochette; Didier Métivier; Daniel Meley; Sylvie Souquere; Tamotsu Yoshimori; Gérard Pierron; Patrice Codogno; Guido Kroemer
Journal:  Mol Cell Biol       Date:  2005-02       Impact factor: 4.272

6.  Choice of management strategy for colorectal cancer based on a diagnostic immunohistochemical test for defective mismatch repair.

Authors:  L Cawkwell; S Gray; H Murgatroyd; F Sutherland; L Haine; M Longfellow; S O'Loughlin; D Cross; O Kronborg; C Fenger; N Mapstone; M Dixon; P Quirke
Journal:  Gut       Date:  1999-09       Impact factor: 23.059

Review 7.  Combined-modality treatment of solid tumors using radiotherapy and molecular targeted agents.

Authors:  Brigette B Y Ma; Robert G Bristow; John Kim; Lillian L Siu
Journal:  J Clin Oncol       Date:  2003-07-15       Impact factor: 44.544

Review 8.  The RAS signal transduction pathway and its role in radiation sensitivity.

Authors:  W Gillies McKenna; Ruth J Muschel; Anjali K Gupta; Stephen M Hahn; Eric J Bernhard
Journal:  Oncogene       Date:  2003-09-01       Impact factor: 9.867

Review 9.  The vital link between the ubiquitin-proteasome pathway and DNA repair: impact on cancer therapy.

Authors:  Akira Motegi; Yasuhiro Murakawa; Shunichi Takeda
Journal:  Cancer Lett       Date:  2009-02-06       Impact factor: 8.679

10.  Invasion by Salmonella typhimurium induces increased expression of the LMP, MECL, and PA28 proteasome genes and changes in the peptide repertoire of HLA-B27.

Authors:  W P Maksymowych; T Ikawa; A Yamaguchi; M Ikeda; D McDonald; L Laouar; R Lahesmaa; N Tamura; A Khuong; D T Yu; K P Kane
Journal:  Infect Immun       Date:  1998-10       Impact factor: 3.441

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  24 in total

1.  Radioresistance of prostate cancer cells with low proteasome activity.

Authors:  Lorenza Della Donna; Chann Lagadec; Frank Pajonk
Journal:  Prostate       Date:  2011-09-19       Impact factor: 4.104

2.  The interconnectedness of cancer cell signaling.

Authors:  Alnawaz Rehemtulla
Journal:  Neoplasia       Date:  2011-12       Impact factor: 5.715

3.  Discovery and verification of gelsolin as a potential biomarker of colorectal adenocarcinoma in the Chinese population: Examining differential protein expression using an iTRAQ labelling-based proteomics approach.

Authors:  Nai-Jun Fan; Chun-Fang Gao; Chang-Song Wang; Jing-Jing Lv; Guang Zhao; Xin-Hua Sheng; Xiu-Li Wang; Dong-Hui Li; Qing-Yin Liu; Jian Yin
Journal:  Can J Gastroenterol       Date:  2012-01       Impact factor: 3.522

4.  Dinosaurs and ancient civilizations: reflections on the treatment of cancer.

Authors:  Alnawaz Rehemtulla
Journal:  Neoplasia       Date:  2010-12       Impact factor: 5.715

5.  The War on Cancer rages on.

Authors:  Alnawaz Rehemtulla
Journal:  Neoplasia       Date:  2009-12       Impact factor: 5.715

Review 6.  Breast cancer subtypes: response to radiotherapy and potential radiosensitisation.

Authors:  F E Langlands; K Horgan; D D Dodwell; L Smith
Journal:  Br J Radiol       Date:  2013-02-07       Impact factor: 3.039

7.  RadiationGeneSigDB: a database of oxic and hypoxic radiation response gene signatures and their utility in pre-clinical research.

Authors:  Venkata Sk Manem; Andrew Dhawan
Journal:  Br J Radiol       Date:  2019-09-25       Impact factor: 3.039

8.  Acquisition of epithelial-mesenchymal transition and cancer stem cell phenotypes is associated with activation of the PI3K/Akt/mTOR pathway in prostate cancer radioresistance.

Authors:  L Chang; P H Graham; J Hao; J Ni; J Bucci; P J Cozzi; J H Kearsley; Y Li
Journal:  Cell Death Dis       Date:  2013-10-24       Impact factor: 8.469

9.  PSMD9 expression predicts radiotherapy response in breast cancer.

Authors:  Fiona E Langlands; David Dodwell; Andrew M Hanby; Kieran Horgan; Rebecca A Millican-Slater; Valerie Speirs; Eldo T Verghese; Laura Smith; Thomas A Hughes
Journal:  Mol Cancer       Date:  2014-03-28       Impact factor: 27.401

10.  Personalized Genome-Scale Metabolic Models Identify Targets of Redox Metabolism in Radiation-Resistant Tumors.

Authors:  Joshua E Lewis; Tom E Forshaw; David A Boothman; Cristina M Furdui; Melissa L Kemp
Journal:  Cell Syst       Date:  2021-01-20       Impact factor: 10.304

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